Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Journal articles

Braids of partitions for the hierarchical representation and segmentation of multimodal images

Abstract : Hierarchical data representations are powerful tools to analyze images and have found numerous applications in image processing. When it comes to multimodal images however, the fusion of multiple hierarchies remains an open question. Recently, the concept of braids of partitions has been proposed as a theoretical tool and possible solution to this issue. In this paper, we demonstrate the relevance of the braid structure for the hierarchical representation of multimodal images. We first propose a fully operable procedure to build a braid of partitions from two hierarchical representations. We then derive a framework for multimodal image segmentation, relying on an energetic minimization scheme conducted on the braid structure. The proposed approach is investigated on different multimodal images scenarios, and the obtained results confirm its ability to efficiently handle the multimodal information to produce more accurate segmentation outputs.
Document type :
Journal articles
Complete list of metadata
Contributor : Vincent Couturier-Doux Connect in order to contact the contributor
Submitted on : Monday, October 7, 2019 - 4:38:41 PM
Last modification on : Wednesday, November 3, 2021 - 7:48:47 AM

Links full text




Guillaume Tochon, Mauro Dalla Mura, Miguel Angel Veganzones, Thierry Géraud, Jocelyn Chanussot. Braids of partitions for the hierarchical representation and segmentation of multimodal images. Pattern Recognition, Elsevier, 2019, 95, pp.162-172. ⟨10.1016/j.patcog.2019.05.029⟩. ⟨hal-02307542⟩



Record views